Cover Image

Driving Reaction Trajectories via Latent Flow Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Yili, Zhang, Xiangliang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trajectory Flow Matching with Applications to Clinical Time Series Modeling
by: Zhang, Xi, et al.
Published: (2024)

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
by: Brinke, Kiet Bennema ten, et al.
Published: (2025)

Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)

EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching
by: Li, Ziyun, et al.
Published: (2025)

Drift Flow Matching
by: Ma, Chenrui, et al.
Published: (2026)

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
by: Monsefi, Amin Karimi, et al.
Published: (2026)

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
by: Li, Peiran, et al.
Published: (2026)

Longitudinal Flow Matching for Trajectory Modeling
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)

Multi-agent Coordination via Flow Matching
by: Lee, Dongsu, et al.
Published: (2025)

Latent Process Generator Matching
by: Billera, Lukas, et al.
Published: (2026)

Learning Unbiased Permutations via Flow Matching
by: Min, Yimeng, et al.
Published: (2026)

Efficient Flow Matching using Latent Variables
by: Samaddar, Anirban, et al.
Published: (2025)

Latent Bayesian Optimization via Autoregressive Normalizing Flows
by: Lee, Seunghun, et al.
Published: (2025)

L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)

Fine-tuning Flow Matching Generative Models with Intermediate Feedback
by: Fan, Jiajun, et al.
Published: (2025)

Latent Flow Transformer
by: Wu, Yen-Chen, et al.
Published: (2025)

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
by: Guo, Kehan, et al.
Published: (2025)

Energy Guided Geometric Flow Matching
by: Zweig, Aaron, et al.
Published: (2025)

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
by: Akujuobi, Uchenna, et al.
Published: (2020)

Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation
by: Kong, Lingkai, et al.
Published: (2025)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
by: Yao, Yue, et al.
Published: (2024)

Edit Flows: Flow Matching with Edit Operations
by: Havasi, Marton, et al.
Published: (2025)

Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)

Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
by: Zhang, Junru, et al.
Published: (2026)

Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)

SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
by: Irwin, Ross, et al.
Published: (2024)

ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)

Flow to Learn: Flow Matching on Neural Network Parameters
by: Saragih, Daniel, et al.
Published: (2025)

Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space
by: Guillen-Perez, Antonio
Published: (2026)

Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
by: Varshney, Payal, et al.
Published: (2024)

LatentFlow: Cross-Frequency Experimental Flow Reconstruction from Sparse Pressure via Latent Mapping
by: Liu, Junle, et al.
Published: (2025)

Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching
by: Li, Zeqiao, et al.
Published: (2026)

Flow Matching with Arbitrary Auxiliary Paths
by: Peng, Xin, et al.
Published: (2026)

Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching
by: Gupta, Aditi, et al.
Published: (2026)

Space Group Conditional Flow Matching
by: Puny, Omri, et al.
Published: (2025)

Operator Flow Matching for Timeseries Forecasting
by: Lee, Yolanne Yi Ran, et al.
Published: (2025)